ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION
Abstract
We describe a system able to perform universal stochastic approximations of continuous multivariable functions in both neuron-like and quantum manner. The implementation of this model in the form of multi-barrier multiple-silt system has been earlier proposed. For the simplified waveguide variant of this model it is proved, that the system can approximate any continuous function of many variables. This theorem is also applied to the 2-input quantum neural model analogical to the schemes developed for quantum control.
- Authors:
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- US Department of Energy (US)
- OSTI Identifier:
- 780714
- Report Number(s):
- LA-UR-01-2580
TRN: AH200124%%156
- DOE Contract Number:
- W-7405-ENG-36
- Resource Type:
- Conference
- Resource Relation:
- Journal Volume: 2; Conference: Conference title not supplied, Conference location not supplied, Conference dates not supplied; Other Information: PBD: 1 May 2001
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; IMPLEMENTATION; NERVE CELLS; WAVEGUIDES
Citation Formats
EZHOV, A, KHROMOV, A, and BERMAN, G. ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION. United States: N. p., 2001.
Web. doi:10.1109/IJCNN.2001.939600.
EZHOV, A, KHROMOV, A, & BERMAN, G. ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION. United States. https://doi.org/10.1109/IJCNN.2001.939600
EZHOV, A, KHROMOV, A, and BERMAN, G. 2001.
"ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION". United States. https://doi.org/10.1109/IJCNN.2001.939600. https://www.osti.gov/servlets/purl/780714.
@article{osti_780714,
title = {ANALOG QUANTUM NEURON FOR FUNCTIONS APPROXIMATION},
author = {EZHOV, A and KHROMOV, A and BERMAN, G},
abstractNote = {We describe a system able to perform universal stochastic approximations of continuous multivariable functions in both neuron-like and quantum manner. The implementation of this model in the form of multi-barrier multiple-silt system has been earlier proposed. For the simplified waveguide variant of this model it is proved, that the system can approximate any continuous function of many variables. This theorem is also applied to the 2-input quantum neural model analogical to the schemes developed for quantum control.},
doi = {10.1109/IJCNN.2001.939600},
url = {https://www.osti.gov/biblio/780714},
journal = {},
number = ,
volume = 2,
place = {United States},
year = {Tue May 01 00:00:00 EDT 2001},
month = {Tue May 01 00:00:00 EDT 2001}
}
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